Image Processing Apparatus Stabilizes Region Division for Moving Objects
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Solution Overview
Problem
Conventional image processing methods for moving images face instability in region division when a moving object is present, leading to unnecessary processing and unstable results due to shifting representative points and region order changes.
Innovation Solution
An image processing apparatus and method that stabilizes region division by using previously stored information to determine if a moving object is present, updating region information only when necessary, and maintaining consistent representative points by using attribute information from background regions for subsequent frame processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If region division processing is performed on each frame image using conventional clustering methods, then region division can be performed in real-time, but the division results become unstable when moving objects are present
Solution Approach 1:
The patent performs region division on the initial frame image before processing subsequent frames. This preliminary region division creates a stable reference framework that is then used for all subsequent frames, preventing the instability that occurs when re-dividing each frame independently. The representative points and region boundaries established in advance serve as a consistent basis for tracking moving objects throughout the video sequence.
Solution Approach 2:
The patent copies the region division results (representative points and region boundaries) from the initial frame and applies them to subsequent frames. Instead of recalculating regions from scratch for each frame, the system uses the pre-established region structure as a template, updating only the necessary components to account for moving objects while maintaining overall stability.
2Adaptability or versatility
If representative points are updated for each frame image, then the processing can adapt to moving objects, but the region order changes and representative points shift causing instability
Solution Approach 1:
The patent segments the image into multiple regions with distinct representative points, allowing independent tracking of each region. This segmentation enables the system to identify which regions contain moving objects and update only those specific regions, while maintaining the original order and positions of representative points in other regions, thus preserving overall consistency.
Solution Approach 2:
The patent implements a feedback mechanism where region division results from the initial frame serve as input for processing subsequent frames. The system continuously compares current frame data with the established region framework, detects changes caused by moving objects, and updates the representative points and region boundaries accordingly, while maintaining the stable overall structure.
Data Source
AI summary
There is provided with an image processing apparatus. An obtaining unit obtains a video with consecutive frame images. A dividing unit divides a frame image of interest into a plurality of divided regions by reference to information of divided regions previously stored in a storage unit. A determining unit determines whether or not a moving object is included in a divided region of interest in the frame image of interest. An updating unit switches whether or not to update information of the divided region of interest stored in the storage unit with information of the divided region of interest of the frame image of interest, according to whether or not a moving object is included in the divided region of interest in the frame image of interest.